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Data Scientist jobs in United Arab Emirates
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Offshore AI & Data Science Specialist
-
Abu Dhabi
On-site
AED 300,000 - 400,000
Yesterday
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Senior Data Scientist — Algorithms & Gen AI
Delivery Hero
Dubai
On-site
AED 120,000 - 160,000
18 days ago
Discover more opportunities than anywhere else. Find more jobs nowLead Data Scientist - Fintech (Credit & Risk ML)
Xenon7
United Arab Emirates
On-site
AED 330,000 - 441,000
25 days ago
Data Scientist - ML & Analytics Specialist (UAE)
VAM Systems
Dubai
On-site
AED 200,000 - 300,000
25 days ago
Principal Data Scientist - AI, MLOps & GenAI Lead
RAKBANK
Dubai
On-site
AED 300,000 - 400,000
17 days ago
Connect with headhunters to apply for similar jobsSenior Data Scientist - Banking Analytics & MLOps
First Abu Dhabi Bank
Abu Dhabi
On-site
AED 257,000 - 368,000
18 days ago
Senior Data Scientist — Remote, Flexible ML & Predictive Analytics
Chalhoub Group
Dubai
On-site
AED 200,000 - 300,000
18 days ago
AI Cloud Infrastructure Specialist
beBeeCloud
Dubai
On-site
AED 330,000 - 441,000
Today
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Billing Operations Specialist - Data-Driven & Impactful
beBeeOperations
Dubai
On-site
AED 60,000 - 80,000
Today
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Global Sustainability Data Analyst
beBeeSustainability
Dubai
On-site
AED 120,000 - 200,000
Today
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Data Engineer - Lakehouse & MLOps for AI Innovation
Deeplight
Dubai
On-site
AED 120,000 - 200,000
Today
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Data Analyst — Data Management & Governance
Confidential
United Arab Emirates
On-site
AED 120,000 - 200,000
Today
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Data Analyst – Data Management
Confidential
United Arab Emirates
On-site
AED 120,000 - 200,000
Today
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Data Engineer - Trading Systems (Rust/SQL)
Infinite Field
Dubai
On-site
AED 120,000 - 200,000
Yesterday
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Data Analyst - eCommerce (Consumer)
Al Khayyat Investments (AKI)
Dubai
On-site
AED 120,000 - 200,000
Yesterday
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Lakehouse Data Engineer for AI Pipelines
Deeplight AI
Abu Dhabi
On-site
AED 120,000 - 200,000
Yesterday
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Principal Data Scientist
RAKBANK
Dubai
On-site
AED 300,000 - 400,000
Full time
17 days ago
Job summary
A leading financial institution in Dubai is seeking an experienced Senior Data Scientist to develop and deploy advanced propensity models, lead a team of data scientists, and collaborate with cross-functional teams. This role demands expertise in Python and cloud platforms along with a bachelor's degree in a relevant field and over 10 years of experience. Competitive compensation and career growth opportunities are offered as part of a performance-driven culture.
Benefits
Competitive and performance-linked compensation
Diverse workforce and inclusive culture
Career development and growth opportunities
Qualifications
- 10+ years experience in a senior data scientist position.
- Strong analytics experience in the bank sector is an advantage.
- Modelling experience including knowledge of Cloud, ML and GenAI.
Responsibilities
- Build and deploy propensity models for cross-sell and upsell.
- Set up model monitoring, drift detection, and alerting systems.
- Deploy models to production via APIs or streaming systems.
Skills
Expert-level coding in Python
Advanced experience with propensity models
Strong SQL skills
Experience with cloud platforms
Ability to lead senior data scientists
Education
Bachelor’s degree in Econometrics, Actuarial Science, Maths/Statistics, Computer Science
Tools
Airflow
MLflow
Kubeflow
Spark
AWS
Job description
Company Description
At RAKBANK, we are committed to nurturing a culture of innovation, growth, and excellence. We go beyond being a bank — we are a thriving community fueled by teamwork, advanced solutions, and unwavering standards of governance.
Join us and be a part of shaping the future of RAKBANK!
Job Description
Modeling Expertise
- Advanced experience in building and deploying propensity models for cross-sell and upsell.
- Deep understanding of Next Best Action / Next Best Offer engines.
- Strong grasp of supervised learning, uplift modeling, and causal inference.
Programming & Engineering
- Expert-level coding in Python (mandatory); familiarity with R or Scala is a plus.
- Experience with distributed computing (Spark, Dask, Ray).
- Proficient in writing production-grade ML pipelines using tools like Airflow, MLflow, or Kubeflow.
- Strong understanding of software engineering best practices: version control, CI/CD, testing.
Data Infrastructure
- Experience with cloud platforms (AWS/GCP/Azure) and data warehouses (Snowflake, BigQuery, Redshift).
- Strong SQL skills; ability to optimize queries and manage large datasets.
MLOps & Deployment
- Experience deploying models to production via APIs or streaming systems (Kafka, Flink).
- Proficient in model versioning, experiment tracking, and deployment using MLflow, SageMaker, or Vertex AI.
Monitoring & Observability
- Ability to set up model monitoring, drift detection, and alerting systems using Prometheus, Grafana, Evidently, or custom dashboards.
- Experience with logging frameworks and performance profiling for ML services.
GenAI (Preferred)
- Experience with LLMs, embeddings, prompt engineering, and vector databases (e.g., FAISS, Pinecone).
- Ability to integrate GenAI into decisioning systems or customer-facing products.
Leadership & Collaboration
- Ability to lead senior data scientists while remaining hands‑on.
- Comfortable working with product managers, engineers, and business stakeholders.
Qualifications
- Bachelor’s degree in a relevant field including Econometrics, Actuarial Science, Maths/Statistics, Computer Science etc.
- Strong analytics experience in the bank sector is an advantage.
- 10 years experience in a senior data scientist position.
- Modelling experience including knowledge of Cloud, ML and GenAI.
Additional Information
What’s In It for You
- Pay for performance culture (Competitive and performance-linked compensation)
- Diverse workforce and inclusive culture
- Career development and growth opportunities by design
- Work with the best minds in the field
- Get opportunities to bring your whole self to the organization and perform to your best.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.